--- title: "stable-diffusion vs hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-tensorflow-hub" tools: ["compvis-stable-diffusion", "tensorflow-hub"] --- # stable-diffusion vs hub *GraphCanon updated Jul 12, 2026* ## Verdict Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; hub is Python; pick hub when hub is primarily Python; stable-diffusion is Jupyter Notebook. [stable-diffusion](https://ommer-lab.com/research/latent-diffusion-models/) reports 73k GitHub stars, 11k forks, and 617 open issues, last pushed Jun 18, 2024. [hub](https://tensorflow.org/hub) has 3.5k stars, 1.6k forks, and 14 open issues, last pushed Jan 17, 2025. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [hub's repository](https://github.com/tensorflow/hub). | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Tagline | A latent text-to-image diffusion model | A library for transfer learning by reusing parts of TensorFlow models. | | Stars | 73,179 | 3,521 | | Forks | 10,584 | 1,644 | | Open issues | 617 | 14 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Computer Vision, Model Training | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [hub](/tools/tensorflow-hub.md) | | --- | --- | --- | | Days since push | 753d | 539d | | Open issues (now) | 617 | 14 | | Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/tensorflow-hub/trust.md) | ## Choose when ### Choose stable-diffusion if… - stable-diffusion is primarily Jupyter Notebook; hub is Python. - License: stable-diffusion is Other, hub is Apache-2.0. - Tags unique to stable-diffusion: jupyter notebook. ### Choose hub if… - hub is primarily Python; stable-diffusion is Jupyter Notebook. - License: hub is Apache-2.0, stable-diffusion is Other. - Tags unique to hub: embeddings, image-classification, machine-learning, ml. - Also covers Vector Databases. ## When NOT to use stable-diffusion - Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use hub - Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between stable-diffusion and hub? stable-diffusion: A latent text-to-image diffusion model. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose stable-diffusion over hub? Choose stable-diffusion over hub when stable-diffusion is primarily Jupyter Notebook; hub is Python; License: stable-diffusion is Other, hub is Apache-2.0; Tags unique to stable-diffusion: jupyter notebook. ### When should I choose hub over stable-diffusion? Choose hub over stable-diffusion when hub is primarily Python; stable-diffusion is Jupyter Notebook; License: hub is Apache-2.0, stable-diffusion is Other; Tags unique to hub: embeddings, image-classification, machine-learning, ml; Also covers Vector Databases. ### When should I avoid stable-diffusion? Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid hub? Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is stable-diffusion or hub more popular on GitHub? stable-diffusion has more GitHub stars (73,179 vs 3,521). Stars measure visibility, not whether either tool fits your constraints. ### Are stable-diffusion and hub open source? Yes - both are open-source projects on GitHub (stable-diffusion: Other, hub: Apache-2.0). ### Where can I find alternatives to stable-diffusion or hub? GraphCanon lists graph-backed alternatives at [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) and [hub alternatives](/tools/tensorflow-hub/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [hub markdown twin](/tools/tensorflow-hub/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/compvis-stable-diffusion-vs-tensorflow-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stable-diffusion or hub? stable-diffusion: Dormant. hub: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for stable-diffusion and hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stable-diffusion trust report](/tools/compvis-stable-diffusion/trust); [hub trust report](/tools/tensorflow-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=compvis-stable-diffusion`](/api/graphcanon/graph?tool=compvis-stable-diffusion) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_